Abstract

In this project, I applied text analysis to find the relations between ”people’s behavior on twitter” and ”Bitcoin’s price and volume.” Since it is a less-than-one-month project and Twitter set the limit rate for retrieving data via API, the comparison only covered data of three weeks.

Bitcoin Historical Price

Bitcoin Historical Trading Volume

The two peaks occurring at 4/10~4/11 and 4/22~4/23 are noteworthy. We can focus on these two dates in the below word frequency analysis and word clouds.

Word Frequency from 4/13 to 5/2

4/13

4/14

4/15

4/16

4/17

4/18

4/19

4/20

4/21

4/22

4/23

4/24

4/25

4/26

4/27

4/28

4/29

4/30

5/01

5/02

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Word Cloud from 4/13 to 5/2

4/13

4/14

4/15

4/16

4/17

4/18

4/19

4/20

4/21

4/22

4/23

4/24

4/25

4/26

4/27

4/28

4/29

4/30

5/01

5/02